{"id":"W4410608829","doi":"10.2196/66100","title":"AI and Machine Learning Terminology in Medicine, Psychology, and Social Sciences: Tutorial and Practical Recommendations","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Preprint; Terminology; Behavioural sciences; Psychology; Computer science; Data science; Applied psychology; World Wide Web; Psychotherapist","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01265873,0.00008638625,0.0002941824,0.0008521519,0.0001976032,0.000128306,0.0005373827,0.0002244832,0.00009354212],"category_scores_gemma":[0.008009597,0.00006369252,0.00001687688,0.0004845541,0.001357994,0.0002551176,0.0007734792,0.003559228,0.000001105225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004930047,"about_ca_system_score_gemma":0.0004386017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005656154,"about_ca_topic_score_gemma":0.0002003746,"domain_scores_codex":[0.9960675,0.001829345,0.0005364072,0.0003087764,0.0009196301,0.0003382898],"domain_scores_gemma":[0.9969456,0.002450527,0.0001319849,0.00009183162,0.0002103458,0.0001697178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001856409,0.0001680741,0.1088729,0.0001859976,0.00005163946,0.0006713683,0.005353414,0.000001370052,0.00005982171,0.1974304,0.0666919,0.6203274],"study_design_scores_gemma":[0.006819751,0.005303139,0.07898588,0.001691594,0.00002130363,0.006074429,0.001114561,0.2741842,0.00001872722,0.04835163,0.5771249,0.0003098634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05652008,0.001535534,0.01993128,0.9198841,0.0009044964,0.0001055752,3.312473e-7,0.00001332764,0.001105222],"genre_scores_gemma":[0.9870193,0.001915579,0.005334438,0.004889866,0.0005682542,0.000005196621,7.828254e-7,0.000005719679,0.0002608413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9304993,"threshold_uncertainty_score":0.9987396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2101626706750623,"score_gpt":0.5775119752940857,"score_spread":0.3673493046190235,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}